Research of Water Response under the Action of the Infrared Human Body Radiation by Water Conductometric Sensors

Non-equilibrium thermal and biothermal radiation generated by heated solid materials and hematothermal living organisms are studied by water conductometric sensors. Engineering aspects and physical features of developed water conductometric sensors are given. Procedure and measuring technique are described. Our experiments show the anomalous behavior of water conductivity and associated differential parameters under water heating by biological objects compared with traditional heating sources. Water response to human action strongly depends on psychophysiological and psychoemotional state of the person. Moreover the responses to the action by left and right human hands are substantially different and as a rule are specific to the gender. The possible physicochemical mechanisms of such anomalous water behavior are studied. It is suggested that the observed effects are associated with resonant excitation of vibration-rotation energy levels of water under the influence of bioradiation generated by human organism consisting of approximately 70% water. The results obtained have good perspectives for future applications in different fields of human activity.

Visual Perception of Incomplete Human-Like Body Postures: A Near-Infrared Spectroscopy Study

Previous studies have reported that the mirror neuron system plays a crucial role in social cognition. We examined whether the higher-order cognitive functions are involved in the activations in the mirror neuron area when we perceive simplified pseudo-postures. We measured 14 participants’ brain activation during the posture-recognition task using near-infrared spectroscopy. The participants’ task was to observe five sequentially presented target pseudo-postures and judge whether a test pseudo-posture was identical to one of the preceding five target pseudo-postures. The results in the majority of participants (n = 10/14) revealed that the activity in the inferior frontal mirror neuron area is modulated by perception of human-likeness, but not in the remaining four participants (n = 4/14). These results suggest that the degree of the activation of higher-order cognitive functions, which may be engaged in the inhibitory and/or facilitative processing of human body or bodily movement, leads to the distinctive activities in the inferior frontal mirror neuron area.

Thermal Infrared Salient Human Detection Model Combined with Thermal Features in Airport Terminal

Target detection in low light background is one of the main tasks of night patrol robots for airport terminal.However,if some algorithms can run on a robot platform with limited computing resources,it is difficult for these algorithms to ensure the detection accuracy of human body in the airport terminal. A novel thermal infrared salient human detection model combined with thermal features called TFSHD is proposed. The TFSHD model is still based on U-Net,but the decoder module structure and model lightweight have been redesigned. In order to improve the detection accuracy of the algorithm in complex scenes,a fusion module composed of thermal branch and saliency branch is added to the decoder of the TFSHD model. Furthermore,a predictive loss function that is more sensitive to high temperature regions of the image is designed. Additionally,for the sake of reducing the computing resource requirements of the algorithm,a model lightweight scheme that includes simplifying the encoder network structure and controlling the number of decoder channels is adopted. The experimental results on four data sets show that the proposed method can not only ensure high detection accuracy and robustness of the algorithm,but also meet the needs of real-time detection of patrol robots with detection speed above 40 f/s.

Rapid 3D human body modeling based on Kinect technology

The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, howev- er, are expensive, limiting the availability of 3D body models. In this paper, we focus on the human body 3D modeling using one Kinect sensor modeling method. To get the human body model fast, three steps in rapid modeling of the human body are carried out. Firstly, according to anthropometric parameters, the standard model is parameterized; Secondly, the Kinect depth image of the human body model is gotten through, then, by using the PCL library the point cloud data is processed and matched, and the human body model is optimized; Finally, the realistic human body model is obtained with the rapid integration of the standard model and PCL library.

MEMS Thermal Sensor在人感空调上的应用

介绍MEMS Thermal Sensor(微电子机械红外传感系统)的基本原理,基于Freescale单片机实现MEMS Thermal Sensor在人感空调上的应用以及具体实现方法。

基于单片机的智能语音垃圾桶系统设计

随着经济的发展,生活和工业垃圾问题日益严重,传统的垃圾处理方式已无法满足现代社会的需求。因此,文章设计了一款智能语音垃圾桶,采用红外传感器、步进电机、语音模块等技术手段实现垃圾桶的智能化。该系统可实现垃圾桶自动开关盖、垃圾满载提示、语音播报等功能,有效提高垃圾处理的效率,保护环境卫生,降低人们患病风险,达到安全、环保、健康的目的。

Flexible Impact Force Sensor

When human body is punched by boxing glove, both body surface and boxing glove deform in a complex shape. The purpose of this study is to develop a flexible sensor that can be used in such interface. Firstly, several mechanical phenomena, which are the cause of the error signal of the sensor, are discussed. These are the influences of out-of-plane bending deformation, shear force caused by rubbing, shear force caused by the Poisson’s effect of contact material, and the lateral compressive force caused by the overhanging deformation of flexible material. Then, a prototype sensor that can eliminate the error factors of these is developed. The sensor is a distribution type impact sensor in which sixteen sensor elements are arranged in a 4 × 4 matrix. Punching experiments using a boxing glove are carried out by installing the sensor on the load cell, on the concrete wall and on the sandbag. From the experiment, it is found that the impact force can be measured with good accuracy by using the sensor. Despite the fact that the sensor has inadequate distribution number of sensor elements, the sensor structure meets mechanical requirements for the flexible impact sensor.

无线运动传感器系统设计

针对日常运动中心率、体温、运动量等信息无线监测所存在的问题,文中设计一种基于STM32单片机和ESP32WiFi微控制器的无线运动传感器系统。首先,使用LMT70、ADS1292及MPU6050高精度模拟前端芯片,实时采集人体的体温、心率及步态信号,传输并存储至STM32中;其次,通过信号处理方法对原始数据进行优化,通过构造合适的滤波处理方法对心电信号进行处理并计算心率,并设计查表法计算人体的体温数据,利用优化的阈值筛选方法从陀螺仪三轴数据中获取运动状态和步态信息;再次,将生成的运动信息进行打包传输并至ESP32中,通过MQTT协议在ESP32与云服务器之间建立信息连接,将运动信息上传至云服务器中保存;最后,通过检测传输进行实验验证。结果表明:所设计系统能快速获取人体准确的运动信息并上传保存;此外,还可进一步向可观测实时信息的用户终端发送运动信息,实现运动信息的无线监测、异地监测。

监护仪体温传感器、非接触式红外线体温计与水银体温计测量结果对比

目的 比较监护仪体温传感器、非接触式红外线体温计与水银体温计体温测量值的差异性,为临床应用提供参考。方法 选取2021年9月—2022年8月在天津市某三级甲等医院发热门诊就诊的840例患者为研究对象,对患者同时使用监护仪体温传感器、非接触式红外线体温计与水银体温计进行体温测量,并比较三者间的差异。结果 3种体温计测量体温结果差异有统计学意义(P<0.05),分析发现,3种体温测量方法在夏季、冬季、发热组差异有统计学意义(P<0.05)。以水银体温计测量结果为金标准,监护仪体温传感器、非接触式红外线体温计的灵敏度分别是94.444%、79.914%,特异度分别是99.731%、93.279%。监护仪体温传感测量结果的灵敏度、特异度均高于非接触式红外线体温计(P<0.05)。监护仪体温传感器、非接触式红外体温计测得体温值与水银体温计测得的体温值差值相比分别有1.19%(10/840)、2.62%(17/840)的点在95%一致性界限以外。结论 在临床应用中监护仪体温传感器更适合替代水银体温计进行体温监测。

低分辨率红外感知系统的人体行为数据增强

针对目前公开的人体行为红外数据集较少的问题,本文设计了基于生成对抗网络和基于3D人体红外模型的两种数据增强方法,以快速扩充现有的红外人体行为数据集。搭建了改进的生成网络模型AC-WGAN并添加了网络优化策略,以生成高质量的红外热图;利用Unity 3D引擎搭建表征红外特征及运动信息的人体模型,模拟红外阵列传感器成像原理,实现了给定人体模型及传感器方位信息便能自动生成大量且多样化数据的功能。基于数据增强后的数据集训练和测试卷积神经网络,实验结果表明,网络对不同行为的感知准确度达到80%以上,且显著提高了网络对陌生数据的识别能力,所设计的数据增强方法对于扩充人体行为红外数据集有效。

基于改进ViT的红外人体图像步态识别方法研究

针对卷积神经网络在步态识别时准确率易饱和现象,以及Vision Transformer(ViT)对步态数据集拟合效率较低的问题,提出构建一个对称双重注意力机制模型,保留行走姿态的时间顺序,用若干独立特征子空间有针对性地拟合步态图像块;同时,采用对称架构的方式,增强注意力模块在拟合步态特征时的作用,并利用异类迁移学习进一步提升特征拟合效率。将该模型运用在中科院CASIA C红外人体步态库中进行多次仿真实验,平均识别准确率达到96.8%。结果表明,本文模型在稳定性、数据拟合速度以及识别准确率3方面皆优于传统ViT模型和CNN对比模型。

红外热成像人体体温检测仪

从实际需求出发,以红外热传感探头和树莓派为核心,组成基于红外传感原理的非接触式人体体温检测仪。红外传感探头采用MLX9064032×24 IR array为感测器件,其可从环境中获取尺寸为32×24的温度矩阵。通过红外探头获取数据,由树莓派中运行的软件控制测温过程,并对数据进行读取、处理、可视化和异常告警。系统操作简单,数据直观,自动化程度较高,实现了非接触式快速测温,遥控测温,自动告警等功能,在大规模检疫防疫等场景下可发挥重要作用。

CNTs/AgNWs/CNTs/TPU纳米纤维膜应变传感器的制备及性能

设计一种既能提供高灵敏度又能提供宽工作范围的柔性应变传感器一直是一个重大挑战。通过真空辅助过滤制备了具有高灵敏度和宽工作范围的纳米纤维膜柔性应变传感器。结果表明,CNTs/AgNWs/CNTs/TPU纳米纤维膜传感器具有高灵敏度(GF=1005.8)、宽应变范围(高达350%)和快速响应时间(39 ms),可以准确监测人体运动,包括从微小的脉搏到大尺度的手指关节弯曲。传感器在可穿戴设备以及身体健康监测方面有巨大的应用潜力。

基于热释电红外传感器的静态人体存在感应器设计

针对常规传感器的输出信号幅值小,获取传感数据异常,导致静态人体生理信号感应数据不精准的问题,设计了基于热释电红外传感器的静态人体存在感应器。构建静态人体存在感应器整体结构,通过感光元件将波长较小的红外信号转化为电子信号形式。利用基于菲涅尔透镜信号聚焦模块,聚焦热释光红外信号。采用热释电信号放大模块,便于热释电信号的放大。利用定时计数和测量脉宽方式甄别人体生理有效信号。构建整体旋转变换矩阵,校正传感位置数据。根据Lambert-Beer定律,分析血氧饱和度和吸光度变化量之间关系,感应血氧饱和度信号。利用热释电效应的形成机理,结合最小二乘拟合法感应脉搏信号。由实验结果可知,该感应器感应的血氧饱和度数值与实际数据分别存在最大为3%、脉搏频值最大数值偏差为1次,能够有效感应人体生理信号。

基于无线网络和热释电人体红外的节能照明系统设计

随着高校办学规模的扩大,各高校教室数量也逐年提升,但因高校教室开放式使用模式和师生节能意识不足,教室的照明系统普遍存在电能浪费问题。文章通过对不同方案下高校教室内灯管所消耗的电能进行统计分析,开发了一套智能节能照明系统。系统通过热释电人体红外传感器实时监测红外人体感应信号,结合数据库中课程表的上课时间,通过无线网络控制教室照明设备的启停,为解决高校教室照明控制提供了一种新的解决方案。

基于红外热电堆传感器的人感控制器设计

本文针对天井机空调的智能扫风功能的实现进行研究。借助红外热电堆传感器检测空间热源信息,通过热源处理算法及人体温度阈值特征确定人体位置;并和空调扫风板角度建立映射关系,验证了空调智能扫风功能的可行性方案;人体位置识别准确率达98%,可与空调扫风板联动实现“风随人”、“风避人”功能。

语音告警防触电警示牌

近年来社会人员因在电力线路下面钓鱼、放风筝等户外活动导致的触电事故逐渐增多,研制了一种语音告警防触电警示牌,包括警示牌外壳和语音告警防触电装置,通过红外探测模块感应周边范围是否有人员靠近,当人员靠近,将会触发语音告警,并发出红蓝闪光,提示高压线下危险,禁止钓鱼、放风筝,减少触电事故的发生。

基于惯性传感器的人体动作捕捉系统

针对目前人体动作捕捉系统采集节点数量少、动作采样精细度不足、成本高等问题,设计一套基于MEMS惯性传感器的47节点人体动作捕捉系统。该系统通过在人体关节部位佩戴传感器节点,实时采集关节部位的精细运动数据;运动数据汇聚后通过Wi-Fi发送至上位机进行数据处理与姿态再现,从而实现手势识别、碰撞检测、物体交互等功能。经实验测试,该系统能够正确采集人体姿态数据,驱动虚拟人运动,具有采集数据节点多、动作精细、实时性强等特点,可应用于动漫、虚拟现实、影视、体感游戏等领域。

基于VR体感的电力故障应急演练系统设计

为了提升应急人员处理涉事故的能力,研发一套基于VR体感的电力故障应急演练系统。该套演练系统实现在虚拟现实的环境下模拟不同种类、不同大小以及不同严重等级的电力事故及灾难。开发的VR数字处理系统,具备极高的交互响应程度,通过人体传感器可以捕获演练测试人员的行为和状态,与标准处理程序进行对比,并评出相应评分。该系统对应急处理人员进行培训,从而极大地提高应急人员处理电力设备事故的能力,同时保障供电的安全以及应急人员的生命安全。

中医灸与人体穴位红外辐射光谱特性研究

本文通过锁相放大技术测到人体不到 1cm2 面积的体表红外辐射光谱。通过对这些光谱的归一化处理后发现 ,不同人体和同一人体的不同穴位 ,尽管其红外辐射绝对光谱及强度相差很大 ,但归一化光谱都有相当的一致性与可比性。进一步将人体发射的平均归一化光谱与中医艾条灸、隔姜灸、隔蒜灸及隔附子饼灸点燃过程中的光谱比较发现 ,后面三种间隔灸与人体自发辐射的光谱有着惊人的一致性 。